RT Book,_Section
T1 Dissimilarity Measures for Visual Pattern Partitioning
A1 Dosil Lago, Raquel
A1 Fernández Vidal, Xosé Ramón
A1 Pardo López, Xosé Manuel
K1 Visual pattern
AB We define a visual pattern as an image feature with frequency components in a range of bands that are aligned in phase. A technique to partition an image into its visual patterns involves clustering of the band-pass filtered versions of the image according to a measure of congruence in phase or, equivalently, alignment in the filter’s responses energy maxima. In this paper we study some measures of dissimilarity between images and discuss their suitability to the specific task of misalignment estimation between energy maps.
PB Springer
YR 2005
FD 2005
LK http://hdl.handle.net/10347/32756
UL http://hdl.handle.net/10347/32756
LA eng
NO Dosil, R., Fdez-Vidal, X.R., Pardo, X.M. (2005). Dissimilarity Measures for Visual Pattern Partitioning. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3523. Springer, Berlin, Heidelberg
NO This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/11492542_36
NO The authors desire to acknowledge the Xunta de Galicia for their financial support of this work by means of the research project PGIDIT04TIC206005PR.
DS Minerva
RD 24 abr 2026